Chapter 11. Producing and Using Clinical Prediction Rules

  1. J. André Knottnerus MD, PhD Professor of General Practice President3,4 and
  2. Frank Buntinx MD, PhD Professor5,6,7
  1. Tom Fahey MSc, MD, MFPH, FRCGP1 and
  2. Johan van der Lei MD, PhD Professor of Medical Informatics2

Published Online: 2 FEB 2009

DOI: 10.1002/9781444300574.ch11

The Evidence Base of Clinical Diagnosis: Theory and methods of diagnostic research, Second Edition

The Evidence Base of Clinical Diagnosis: Theory and methods of diagnostic research, Second Edition

How to Cite

Fahey, T. and van der Lei, J. (2008) Producing and Using Clinical Prediction Rules, in The Evidence Base of Clinical Diagnosis: Theory and methods of diagnostic research, Second Edition (eds J. A. Knottnerus and F. Buntinx), Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444300574.ch11

Editor Information

  1. 3

    Netherlands School of Primary Care Research, Maastricht University, The Hague, The Netherlands

  2. 4

    The Health Council of The Netherlands, The Hague, The Netherlands

  3. 5

    Department of General Practice, Catholic University Leuven, Belgium

  4. 6

    Netherlands School of Primary Care Research, Maastricht University, Maastricht, The Netherlands

  5. 7

    Department of General Practice, Maastricht University, Maastricht, The Netherlands

Author Information

  1. 1

    Department of General Practice, Royal College of Surgeons in Ireland Medical School, Dublin, Ireland

  2. 2

    Department of Medical Informatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands

Publication History

  1. Published Online: 2 FEB 2009
  2. Published Print: 10 OCT 2008

ISBN Information

Print ISBN: 9781405157872

Online ISBN: 9781444300574

SEARCH

Keywords:

  • producing and using clinical prediction rules;
  • use and application of CPRs and probabilistic or Bayesian diagnostic reasoning;
  • error in heuristics of decision making and influence on CPRs;
  • thresholds approach to diagnosis;
  • coverage of clinical prediction rules;
  • MEDLINE and EMBASE clinical literature databases;
  • methodological standards and levels of evidence;
  • barriers and strategies to clinical prediction rule effective implementation;
  • CPRs into CDSSs into personal digital assistants (PDAs)

Summary

This chapter contains sections titled:

  • Introduction

  • Clinical context

  • Description and coverage of clinical prediction rules

  • Methodological challenges

  • Methodological standards and levels of evidence

  • Conclusions

  • Recommended key references

  • Examples of Cardiovascular risk functions

  • References